Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/54688
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dc.contributor.authorKaminskas, Vytautas-
dc.contributor.authorVidugirienė, Aušra-
dc.coverage.spatialLT-
dc.date.accessioned2018-10-07T00:19:39Z-
dc.date.available2018-10-07T00:19:39Z-
dc.date.issued2016-
dc.identifier.issn08684952-
dc.identifier.otherVDU02-000020042-
dc.identifier.urihttps://doi.org/10.15388/Informatica.2016.85-
dc.identifier.urihttp://www.mii.lt/informatica/pdf/INFO1101.pdf-
dc.description.abstractŠiame straipsnyje pateikiamas dviejų netiesinių įvesties ir išvesties tipo modelių, kurie aprašo sąry- šius tarp žmogaus emocinių signalų (susijaudinimo, susierzinimo ir susidomėjimo / nuobodulio) ir virtualaus trimačio veido su besikeičiančiu atstumu tarp akių, lyginimas. Stabiliems modeliams su mažiausia išėjimo prognozės paklaida sudaryti pasiūlytas mažiausių kvadratų metodas su projekcija į stabilumo sritį. Validavimas buvo atliktas su septyniais savanoriais ir trimis įėjimo signalo tipais. Modeliavimo rezultatai parodė santykinai aukštus susijaudinimo, susierzinimo ir susidomėjimo / nuobodulio signalų prognozių tikslumuslt
dc.description.abstractA comparison of two nonlinear input-output models describing the relationship between human emotion (excitement, frustration and engagement/boredom) signals and a virtual 3D face feature (distance-between-eyes) is introduced in this paper. A method of least squares with projection to stability domain for the building of stable models with the least output prediction error is proposed. Validation was performed with seven volunteers, and three types of inputs. The results of the modelling showed relatively high prediction accuracy of excitement, frustration and engagement/boredom signalsen
dc.description.sponsorshipInformatikos fakultetas-
dc.description.sponsorshipSistemų analizės katedra-
dc.description.sponsorshipVytauto Didžiojo universitetas-
dc.format.extentp. 283-297-
dc.language.isoen-
dc.relation.ispartofInformatica : an international journal. Vilnius : Vilnius university institute of mathematics and informatics, 2016, vol. 27, no. 2-
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)-
dc.relation.isreferencedbyScopus-
dc.relation.isreferencedbyINSPEC-
dc.relation.isreferencedbyAcademic OneFile (Gale)-
dc.relation.isreferencedbyZentralblatt MATH-
dc.relation.isreferencedbyCentral & Eastern European Academic Source (EBSCO)-
dc.subjectTrimatis veidaslt
dc.subjectŽmogaus emocijoslt
dc.subjectHammerstein tipo modelislt
dc.subjectParametrų įvertinimaslt
dc.subjectModelio validavimaslt
dc.subject3D faceen
dc.subjectHuman emotionsen
dc.subjectHammerstein-type modelen
dc.subjectParameter estimationen
dc.subjectModel validationen
dc.subject.otherInformatika / Informatics (N009)-
dc.titleA comparison of hammerstein-type nonlinear models for identification of human response to virtual 3D face stimulien
dc.title.alternativeNetiesinių Hameršteino tipo modelių lyginimas identifikuojant žmogaus reakciją į virtualius trimačio veido stimuluslt
dc.typeStraipsnis Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or / and Scopus (S1)-
dc.identifier.doihttps://doi.org/10.15388/Informatica.2016.XX-
dc.identifier.isiWOS:000379100600003-
dcterms.bibliographicCitation14-
dc.date.updated2020-01-30T16:42Z-
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local.typeS-
item.fulltextWith Fulltext-
item.grantfulltextopen-
crisitem.author.deptSistemų analizės katedra-
crisitem.author.deptSistemų analizės katedra-
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications
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